The foundation for modern understanding of how we make perceptual decisions about what
we see or where to look comes from considering the optimal way to perform these …

Logistic classification is a simple way to make choices based on a set of factors: give each
factor a weight, sum the results, and use the sum to set the log odds of a random draw. This …

Classical models of perceptual decision-making assume that subjects use a single,
consistent strategy to form decisions, or that decision-making strategies evolve slowly over …

Research in neuroscience increasingly relies on the mouse, a mammalian species that
affords unparalleled genetic tractability and brain atlases. Here, we introduce high-yield …

Learning from successes and failures often improves the quality of subsequent decisions.
Past outcomes, however, should not influence purely perceptual decisions after task …

Despite a noisy and ever-changing visual world, our perceptual experience seems
remarkably stable over time. How does our visual system achieve this apparent stability …

Humans can make abstract choices independent of motor actions. However, in laboratory
tasks, choices are typically reported with an associated action. Consequentially, knowledge …

An open question in systems and computational neuroscience is how neural circuits
accumulate evidence towards a decision. Fitting models of decision-making theory to neural …

Perceptual decisions are based on sensory information but can also be influenced by
expectations built from recent experiences. Can the impact of expectations be flexibly …

Highlights•Decision-related activity (choice-probabilities [CPs]) in sensory neurons is widely
found.•Correlated variability in sensory neurons limits information in some cases.•The …